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Статті в журналах з теми "Document Intelligence":
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Askarifard, Hadis. "Types of classifier in artificial intelligence." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 1 (October 23, 2015): 6436–43. http://dx.doi.org/10.24297/ijct.v15i1.1716.
Анотація:
Artificial intelligence or machine intelligence should be considered as the vast domain of junction of many knowledge, sciences and old and new technics. Today, classification of documents is adopted extensively in information recovery for organizing documents. In the method of document supervised classification some correct information about documents that previously have been classified are available for us and based on these information we classify these documents. Thus, we will examine methods such as: expert systems, artificial neural network, Genetic algorithm and fuzzy logics and so on. In this project we examine documents thematically and then using existing algorithms we predict a theme for a new document.
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Bhatt, Ajay. "Document Automation Using Artificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (September 30, 2022): 1365–13169. http://dx.doi.org/10.22214/ijraset.2022.46839.
Анотація:
Abstract: Documents such as Invoices, receipts, bills, ID cards, and passports are basic and very common documents around the world which are used for accounting, tax records, payments, financial history, performing activities like data analytics, digitizing company’s records etc. All these documents are available in different formats such as images, PDFs and hard copies (paper). To retrieve the data from these documents, a person needs to manually write or type the data from documents to the table, which is time-consuming as well as irritating. We provide a simple, unique and easily implementable end-to-end approach that uses AI and Deep Learning models to automate the above tasks by just uploading the document of any format image, PDF or Docs, and the software will extract the data and save it in the required structural format. Our approach eliminates the need to manually enter data in an Excel or database record with no limit on the amount of work while companies are facing problems because of their limited workforce and limited work hour for manual data entry, but our software can run 24x7.
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Shi, Zhongzhi, Qing He, Ziyan Jia, and Jiayou Li. "Intelligence Chinese Document Semantic Indexing System." International Journal of Information Technology & Decision Making 02, no. 03 (September 2003): 407–24. http://dx.doi.org/10.1142/s0219622003000732.
Анотація:
With the rapid growth of the Internet, how to get information from this huge information space becomes an even more important problem. In this paper, An Intelligence Chinese Document Semantic Indexing System; ICDSIS, is proposed. Some new technologies are integrated in ICDSIS to obtain good performance. ICDSIS is composed of four key procedures. A parallel, distributed and configurable Spider is used for information gather; a multi-hierarchy document classification approach combining the information gain initially processes gathered web documents; a swarm intelligence based document clustering method is used for information organization; a concept-based retrieval interface is applied for user interactive retrieval. ICDSIS is an all-sided solution for information retrieval on the Internet.
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Stoyanova, Miglena. "Document Process Automation with Artificial Intelligence for Logistics Sector." Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series 12, no. 1 (October 1, 2023): 190–97. http://dx.doi.org/10.56065/ijusv-ess/2023.12.1.190.
Анотація:
The logistics sector serves as the backbone of global commerce, facilitating the movement of goods across vast networks. The efficient management of documents is key to operational success in this industry. Document process automation powered by artificial intelligence offers a transformative solution to the challenges inherent in document- intensive workflows. The current study clarifies the essential role of AI-driven document process automation in optimizing document-related processes in the logistics domain. Through a systematic analysis, it highlights the imperative need for document process automation integration, its operational benefits, and the underlying considerations for successful implementation.
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CROSSNO, PATRICIA J., ANDREW T. WILSON, TIMOTHY M. SHEAD, WARREN L. DAVIS, and DANIEL M. DUNLAVY. "TOPICVIEW: VISUAL ANALYSIS OF TOPIC MODELS AND THEIR IMPACT ON DOCUMENT CLUSTERING." International Journal on Artificial Intelligence Tools 22, no. 05 (October 2013): 1360008. http://dx.doi.org/10.1142/s0218213013600087.
Анотація:
We present a new approach for analyzing topic models using visual analytics. We have developed TopicView, an application for visually comparing and exploring multiple models of text corpora, as a prototype for this type of analysis tool. TopicView uses multiple linked views to visually analyze conceptual and topical content, document relationships identified by models, and the impact of models on the results of document clustering. As case studies, we examine models created using two standard approaches: Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA). Conceptual content is compared through the combination of (i) a bipartite graph matching LSA concepts with LDA topics based on the cosine similarities of model factors and (ii) a table containing the terms for each LSA concept and LDA topic listed in decreasing order of importance. Document relationships are examined through the combination of (i) side-by-side document similarity graphs, (ii) a table listing the weights for each document's contribution to each concept/topic, and (iii) a full text reader for documents selected in either of the graphs or the table. The impact of LSA and LDA models on document clustering applications is explored through similar means, using proximities between documents and cluster exemplars for graph layout edge weighting and table entries. We demonstrate the utility of TopicView's visual approach to model assessment by comparing LSA and LDA models of several example corpora.
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HAO, XIAOLONG, JASON T. L. WANG, MICHAEL P. BIEBER, and PETER A. NG. "HEURISTIC CLASSIFICATION OF OFFICE DOCUMENTS." International Journal on Artificial Intelligence Tools 03, no. 02 (June 1994): 233–65. http://dx.doi.org/10.1142/s0218213094000121.
Анотація:
Document Processing Systems (DPSs) support office workers to manage information. Document classification is a major function of DPSs. By analyzing a document’s layout and conceptual structures, we present in this paper a sample-based approach to document classification. We represent a document’s layout structure by an ordered labeled tree through a procedure known as nested segmentation and represent the document’s conceptual structure by a set of attribute type pairs. The layout similarities between the document to be classified and sample documents are determined by a previously developed approximate tree matching toolkit. The conceptual similarities between the documents are determined by analyzing their contents and by calculating the degree of conceptual closeness. The document type is identified by computing both the layout and conceptual similarities between the document to be classified and the samples in the document sample base. Some experimental results are presented, which demonstrate the effectiveness of the proposed techniques.
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Belov, Ilya I. "Automation of Electronic Document Management Systems Functions by Means of Artificial Intelligence Technologies." Herald of an archivist, no. 3 (2022): 772–83. http://dx.doi.org/10.28995/2073-0101-2022-3-772-783.
Анотація:
The article discusses the use of artificial intelligence technologies in performance of documentation processes in electronic document management systems in order to improve existing practices and to develop methods of using such technologies and implementing some functions automatically without or with minimal human intervention. The scientific novelty of the research is due to an attempt to generalize practical experience of using artificial intelligence technologies to automate electronic document management systems functions by direct development and modernization of such systems and also by introduction of outsourced software for simplification of some tasks for specialists in the field of document management. The study is to analyze the functionality of electronic document management systems implemented with use of intelligent solutions. It draws on works of national and foreign experts in the field of document management, archival science, and information technology. The article reviews electronic document management systems based on artificial intelligence technologies, as well as software solutions integrated into information systems for intellectualization of various processes pertaining to working with documents. It analyzes specific software products of Russian developers involved in various areas of the economy and in direct creation of software in the field of electronic document management, as well as foreign experience in development and use of software for solving practical problems in the field of document management. The article describes the main functions for registering, indexing, routing, and searching for documents, as well as technical support for users that are already implemented within the framework of electronic document management systems using artificial intelligence technologies, which may indicate sufficient practical benefits of using intelligent solutions in document management. The author focuses not only on obvious benefits of using artificial intelligence technologies to improve efficiency and to expand functionality of electronic document management systems, but also on possible risks pertaining to ensuring information security while working with such systems, which indicates a need for further study of this area by specialists in records management and archival science.
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A., Lukman, Emmanuel R., and Amos David. "Integrating Document Usage with Document Index in Competitive Intelligence Process." International Journal of Computer Applications 132, no. 13 (December 17, 2015): 37–43. http://dx.doi.org/10.5120/ijca2015907630.
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Khudyak Kozorovitsky, A., and O. Kurland. "From ``Identical'' to ``Similar'': Fusing Retrieved Lists Based on Inter-Document Similarities." Journal of Artificial Intelligence Research 41 (June 21, 2011): 267–96. http://dx.doi.org/10.1613/jair.3214.
Анотація:
Methods for fusing document lists that were retrieved in response to a query often utilize the retrieval scores and/or ranks of documents in the lists. We present a novel fusion approach that is based on using, in addition, information induced from inter-document similarities. Specifically, our methods let similar documents from different lists provide relevance-status support to each other. We use a graph-based method to model relevance-status propagation between documents. The propagation is governed by inter-document-similarities and by retrieval scores of documents in the lists. Empirical evaluation demonstrates the effectiveness of our methods in fusing TREC runs. The performance of our most effective methods transcends that of effective fusion methods that utilize only retrieval scores or ranks.
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Hayama, Tessai, Takashi Kanai, and Susumu Kunifuji. "Document Skimming Support Environment for Surveying Documents in Creative Activities." Transactions of the Japanese Society for Artificial Intelligence 19 (2004): 113–25. http://dx.doi.org/10.1527/tjsai.19.113.
Дисертації з теми "Document Intelligence":
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Šprta, Vlastimil. "Inteligentní dokument." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219662.
Анотація:
This diploma thesis, interested in intelligent documents, covers, in its introductory chapters, the basic problematics of inteligent documents. The major part of major part of these theorethical chapters is devoted to the analysis of possible practical applications of certain parts of knowledge management. The second part of the thesis, focused more on a practical usage of intelligent documents, includes the proposition of the actual structure and the realization of the specific intelligent document. This part also includes the evaluation and the examples of the differences between an ordinary electronic document and an intelligent document. The conclusion of the practical part of the thesis is the summary of all the findings concerning the practical implementation of an intelligent document and the evaluation of possible applications, extension possibilities and changes of such intelligent document.
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Chen, Hsinchun, K. J. Lynch, K. Basu, and Tobun Dorbin Ng. "Generating, Integrating, and Activating Thesauri for Concept-based Document Retrieval." IEEE, 1993. http://hdl.handle.net/10150/105378.
Анотація:
Artificial Intelligence Lab, Department of MIS, University of ArizonaThis Blackboard-based design uses a neural-net spreading-activation algorithm to traverse multiple thesauri. Guided by heuristics, the algorithm activates related terms in the thesauri and converges on the most pertinent concepts.
3
Chen, Hsinchun, and K. J. Lynch. "Automatic Construction of Networks of Concepts Characterizing Document Databases." IEEE, 1992. http://hdl.handle.net/10150/105175.
Анотація:
Artificial Intelligence Lab, Department of MIS, University of ArizonaThe results of a study that involved the creation of knowledge bases of concepts from large, operational textual databases are reported. Two East-bloc computing knowledge bases, both based on a semantic network structure, were created automatically using two statistical algorithms. With the help of four East-bloc computing experts, we evaluated the two knowledge bases in detail in a concept-association experiment based on recall and recognition tests. In the experiment, one of the knowledge bases that exhibited the asymmetric link property out-performed all four experts in recalling relevant concepts in East-bloc computing. The knowledge base, which contained about 20,O00 concepts (nodes) and 280,O00 weighted relationships (links), was incorporated as a thesaurus-like component into an intelligent retrieval system. The system allowed users to perform semantics-based information management and information retrieval via interactive, conceptual relevance feedback.
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Sangupamba, Mwilu Odette. "De la business intelligence interne vers la business intelligence dans le cloud : modèles et apports méthodologiques." Thesis, Paris, CNAM, 2018. http://www.theses.fr/2018CNAM1168/document.
Анотація:
La BI et le cloud computing sont deux grands sujets de recherche en informatique et en système d’information en particulier. Une recherche combinant ces deux concepts est d'un intérêt double : D’une part, dans les entreprises, la BI devient de plus en plus une partie importante du système d'information qui nécessite des investissements en termes de performances de calcul et des volumes de données. D’autre part, le cloud computing offre de nouvelles opportunités pour gérer les données à des fins d’analyse.Etant donné les possibilités de cloud, la question de la migration de l'ensemble du système d’information y compris la BI est d'un grand intérêt. En particulier, les chercheurs doivent fournir aux professionnels des modèles et des méthodes qui puissent les aider à migrer vers le cloud.Que faire pour que la BI puisse fournir aux managers un service de mise à disposition de données d’analyse au travers du cloud ? La question de recherche est : Comment aider les organisations à migrer leur BI vers le cloud ?Dans cette thèse, nous répondons à cette question en utilisant l'approche science de conception (design science). Nous mettons en place une aide à la décision de la migration de la BI vers le cloud qui s'appuie sur les taxonomies. Nous proposons un modèle de guidage opérationnel qui est instancié par une taxonomie de la BI dans le cloud et dont découlent les règles pour la migration de la BI vers le cloudBI and cloud computing are two major areas of computer science research and in particular in information system. A research combining these two concepts has a double interest : On the one hand, in business, the BI becomes increasingly an important part of the information system which requires investment in terms of computing performance and data volumes. On the other hand, cloud computing offers new opportunities to manage data for analysis.Given the possibilities of cloud, migration question of the information system including BI is of great interest. In particular, researchers must provide models and methods to help professional in BI migration to the cloud.The research question is : how to migrate BI to the cloud?In this thesis, we address this issue using design science research approach. We implement a decision-making help for BI migration to the cloud based on taxonomies. We provide an operational guidance model that is instantiated by a BI taxonomy in the cloud and from that rules for BI migration to the cloud are arised
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Donolo, Rosa Marina. "Contributions to geovisualization for territorial intelligence." Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0075/document.
Анотація:
Ce travail de thèse de doctorat est placé dans le domaine de la Géovisualisation utilisé pour mettre en œuvre des systèmes de aide à la décision territoriale. Ce travail de recherche est né grâce à l'établissement d’un accord entre l’Université Tor Vergata de Rome, et l’INSA (Institut National des Sciences Appliquées), de Lyon. La co-tutelle de cette thèse est née pour la nécessité d’une approche multidisciplinaire à le sujet de recherche, en profitant des compétences en matière d'urbanisme, de l’environnement et de la modélisation de territoire à l'école doctorale ‘Geoinformazione’ de l'Université de Tor Vergata, et en utilisant d’avantage les compétences dans les systèmes d'information spatiale et de la géovisualisation au laboratoire LIRIS de l'INSA. Malgré ces avantages, l’un des problèmes les plus courants en visualisation de l’information est de représenter les données d’une manière claire et compréhensible. Actuallement il ya peu de fondations scientifiques pour guider les chercheurs dans la conception visuelle de données spatiales ; il existe des méthodes systématiques limitée pour évaluer l'efficacité des solutions proposées. Dans ce travail de recherche de doctorat, des contributions seront fournis à la création d'une méthode d'évaluation systématique pour évaluer et développer des affichages visuels efficaces. Dans ce contexte l’objectif de la recherche était de trouver une méthode simple et empirique - un test en ligne - qui pourrait être facilement reproductible pour differentes scenarios, pour soutenir l’administration publique dans différents contextes et pour différentes tâchesThis PhD research work is placed in the domain of Geovisualization used to implement Territorial Intelligence and decision support systems. This research work was born through the establishment of an agreement between Tor Vergata University, Rome, and INSA (Institut National des Sciences Appliquées), Lyon. The co-supervision of this thesis was born from the necessity of a multidisciplinary approach to the research topic, taking advantage of the skills in urban planning, environment and territory modeling at the Geoinformation doctoral school of Tor Vergata University, and taking advantage of the skills in Spatial Information Systems and Geovisualization at the LIRIS Laboratory of INSA. The motivation that led us to deal with this research topic was the perception of a lack of systematic methods and universally approved empirical experiments in data visualization domain. The experiments should consider different typologies of data, different environmental contexts, different indicators and methods of representations, etc., in order to support expert users in decision making, in the urban and territorial planning and in the implementation of environmental policies. In modern societies, we have to deal with a great amount of data every day and Geovisualization permits the management, exploration and display of big and heterogeneous data in an interactive way that facilitates decision making processes. Geovisualization gives the opportunity to the user to change the visual appearance of the maps, to explore different layers of data and to highlight problems in some areas by the citizens. Despite these advantages, one of the most common problems in Information Visualization is to represent data in a clear and comprehensible way. Spatial data have a complex structure that includes spatial component, thematic attributes, and often the temporal component Actually there are limited scientific foundations to guide researchers in visual design of spatial data, and there are limited systematic and standard methods to evaluate the effectiveness of the solutions proposed. In this Phd research work, some contributions will be provided to the creation of a systematic assessment method to evaluate and to develop effective geovisualization displays. An empirical evaluation test is proposed to assess the effectiveness of some map displays, analyzing the use of three elements of visual design: 1. the spatial indicators to be represented and their context of visualization, 2. the physical dimensions of map displays, 3. the visual variables to represent different layers of information
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Sasa, Yuko. "Intelligence Socio-Affective pour un Robot : primitives langagières pour une interaction évolutive d'un robot de l’habitat intelligent." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAM041/document.
Анотація:
Le Traitement Automatique de la Parole (TAP) s’intéresse de plus en plus et progresse techniquement en matière d’étendue de vocabulaire, de gestion de complexité morphosyntaxique, de style et d’esthétique de la parole humaine. L’Affective Computing tend également à intégrer une dimension « émotionnelle » dans un objectif commun au TAP visant à désambiguïser le langage naturel et augmenter la naturalité de l’interaction personne-machine. Dans le cadre de la robotique sociale, cette interaction est modélisée dans des systèmes d’interaction, de dialogue, qui tendent à engendrer une dimension d’attachement dont les effets doivent être éthiquement et collectivement contrôlés. Or la dynamique du langage humain situé met à mal l’efficacité des systèmes automatiques. L’hypothèse de cette thèse propose dans la dynamique des interactions, il existerait une « glu socio-affective » qui ferait entrer en phases synchroniques deux individus dotés chacun d’un rôle social impliqué dans une situation/contexte d’interaction. Cette thèse s'intéresse à des dynamiques interactionnelles impliquant spécifiquement des processus altruistes, orthogonale à la dimension de dominance. Cette glu permettrait ainsi de véhiculer les événements langagiers entre les interlocuteurs, en modifiant constamment leur relation et leur rôle, qui eux même viennent à modifier cette glu, afin d’assurer la continuité de la communication. La seconde hypothèse propose que la glu socio-affective se construise à partir d’une « prosodie socio-affective pure » que l’on peut retrouver dans certaines formes de micro-expressions vocales. L’effet de ces événements langagiers serait alors graduel en fonction du degré de contrôle d’intentionnalité communicative qui s’observerait successivement par des primitives langagières : 1) des bruits de bouche (non phonétiques, non phonologiques), 2) des sons prélexicaux, 3) des interjections/onomatopées, 4) des imitations à contenu lexical contrôlé. Une méthodologie living-lab est ainsi développée au sein de la plateforme Domus, sur des boucles agiles et itératives co-construites avec les partenaires industriels et sociétaux. Un Magicien d’Oz – EmOz – est utilisé afin de contrôler les primitives vocales comme unique support langagier d’un robot majordome d’un habitat intelligent interagissant avec des personnes âgées en isolement relationnel. Un large corpus, EmOz Elderly Expressions –EEE– est ainsi recueilli. Cet isolement relationnel permet méthodologiquement d’appréhender les dimensions de la glu socio-affective, en introduisant une situation contrastive dégradée de la glu. Les effets des primitives permettraient alors d’observer les comportements de l’humain à travers des indices multimodaux. Les enjeux sociétaux abordés par la gérontechnologie montrent que l’isolement est un facteur de fragilisation où la qualité de la communication délite le maillage relationnel des personnes âgées alors que ces liens sont bénéfiques à sa santé et son bien-être. L’émergence de la robotique d’assistance en est une illustration. Le système automatisé qui découlera des données et des analyses de cette étude permettrait alors d’entraîner les personnes à solliciter pleinement leurs mécanismes de construction relationnelle, afin de redonner l’envie de communiquer avec leur entourage humain. Les analyses du corpus EEE recueilli montrent une évolution de la relation à travers différents indices interactionnels, temporellement organisés. Ces paramètres visent à être intégrés dans une perspective de système de dialogue incrémental – SASI. Les prémisses de ce système sont proposées dans un prototype de reconnaissance de la parole dont la robustesse ne dépendra pas de l’exactitude du contenu langagier reconnu, mais sur la reconnaissance du degré de glu, soit de l’état relationnel entre les locuteurs. Ainsi, les erreurs de reconnaissance tendraient à être compensées par l’intelligence socio-affective adaptative de ce système dont pourrait être doté le robotThe Natural Language Processing (NLP) has technically improved regarding human speech vocabulary extension, morphosyntax scope, style and aesthetic. Affective Computing also tends to integrate an “emotional” dimension with a common goal shared with NLP which is to disambiguate the natural language and increase the human-machine interaction naturalness. Within social robotics, the interaction is modelled in dialogue systems trying to reach out an attachment dimension which effects need to an ethical and collective control. However, the situated natural language dynamics is undermining the automated system’s efficiency, which is trying to respond with useful and suitable feedbacks. This thesis hypothesis supposes the existence of a “socio-affective glue” in every interaction, set up in between two individuals, each with a social role depending on a communication context. This glue is so the consequence of dynamics generated by a process which mechanisms rely on an altruistic dimension, but independent of dominance dimension as seen in emotions studies. This glue would allow the exchange of the language events between interlocutors, by regularly modifying their relation and their role, which is changing themselves this glue, to ensure the communication continuity. The second hypothesis proposes the glue as built by “socio-affective pure prosody” forms that enable this relational construction. These cues are supposed to be carried by hearable and visible micro-expressions. The interaction events effect would also be gradual following the degree of the communication’s intentionality control. The graduation will be continuous through language primitives as 1) mouth noises (neither phonetics nor phonological sounds), 2) pre-lexicalised sounds, 3) interjections and onomatopoeias, 4) controlled command-based imitations with the same socio-affective prosody supposed to create and modify the glue. Within the Domus platform, we developed an almost living-lab methodology. It functions on agile and iterative loops co-constructed with industrial and societal partners. A wizard of oz approach – EmOz – is used to control the vocal primitives proposed as the only language tools of a Smart Home butler robot interacting with relationally isolated elderly. The relational isolation allows the dimensions the socio-affective glue in a contrastive situation where it is damaged. We could thus observe the primitives’ effects through multimodal language cues. One of the gerontechnology social motivation showed the isolation to be a phenomenon amplifying the frailty so can attest the emergence of assistive robotics. A vicious circle leads by the elderly communicational characteristics convey them to some difficulties to maintain their relational tissue while their bonds are beneficial for their health and well-being. If the proposed primitives could have a real effect on the glue, the automated system will be able to train the persons to regain some unfit mechanisms underlying their relational construction, and so possibly increase their desire to communicate with their human social surroundings. The results from the collected EEE corpus show the relation changes through various interactional cues, temporally organised. These denoted parameters tend to build an incremental dialogue system in perspectives – SASI. The first steps moving towards this system reside on a speech recognition prototype which robustness is not based on the accuracy of the recognised language content but on the possibility to identify the glue degree (i.e. the relational state) between the interlocutors. Thus, the recognition errors avoid the system to be rejected by the user, by tempting to be balanced by this system’s adaptive socio-affective intelligence
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Bernardes, Vitor Giovani. "Urban environment perception and navigation using robotic vision : conception and implementation applied to automous vehicle." Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP2155/document.
Анотація:
Le développement de véhicules autonomes capables de se déplacer sur les routes urbaines peuvent fournir des avantages importants en matière de réduction des accidents, en augmentant le confort et aussi, permettant des réductions de coûts. Les véhicules Intelligents par exemple fondent souvent leurs décisions sur les observations obtenues à partir de différents capteurs tels que les LIDAR, les GPS et les Caméras. En fait, les capteurs de la caméra ont reçu grande attention en raison du fait de qu’ils ne sont pas cher, facile à utiliser et fournissent des données avec de riches informations. Les environnements urbains représentent des scénarios intéressant mais aussi très difficile dans ce contexte, où le tracé de la route peut être très complexe,la présence d’objets tels que des arbres, des vélos, des voitures peuvent générer des observations partielles et aussi ces observations sont souvent bruyants ou même manquant en raison de occlusions complètes. Donc, le processus de perception par nature doit être capable de traiter des incertitudes dans la connaissance du monde autour de la voiture. Tandis que la navigation routière et la conduite autonome en utilisant une connaissance préalable de l’environnement ont démontré avec succès, la compréhension et la navigation des scénarios généraux du environnement urbain avec peu de connaissances reste un problème non résolu. Dans cette thèse, on analyse ce problème de perception pour la conduite dans les milieux urbains basée sur la connaissance de l’environnement pour aussi prendre des décisions dans la navigation autonome. Il est conçu un système de perception robotique, qui permettre aux voitures de se conduire sur les routes, sans la nécessité d’adapter l’infrastructure, sans exiger l’apprentissage précédente de l’environnement, et en tenant en compte la présence d’objets dynamiques tels que les voitures.On propose un nouveau procédé basé sur l’apprentissage par la machine pour extraire le contexte sémantique en utilisant une paire d’images stéréo qui est fusionnée dans une grille d’occupation évidentielle pour modéliser les incertitudes d’un environnement urbain inconnu,en utilisant la théorie de Dempster-Shafer. Pour prendre des décisions dans la planification des chemins, il est appliqué l’approche de tentacule virtuel pour générer les possibles chemins à partir du centre de référence de la voiture et sur cette base, deux nouvelles stratégies sont proposées. Première, une nouvelle stratégie pour sélectionner le chemin correct pour mieux éviter les obstacles et de suivre la tâche locale dans le contexte de la navigation hybride, et seconde, un nouveau contrôle en boucle fermée basé sur l’odométrie visuelle et tentacule virtuel est modélisée pour l’exécution du suivi de chemin. Finalement, un système complet automobile intégrant les modules de perception, de planification et de contrôle sont mis en place et validé expérimentalement dans des situations réelles en utilisant une voiture autonome expérimentale, où les résultats montrent que l’approche développée effectue avec succès une navigation locale fiable basée sur des capteurs de la caméraThe development of autonomous vehicles capable of getting around on urban roads can provide important benefits in reducing accidents, in increasing life comfort and also in providing cost savings. Intelligent vehicles for example often base their decisions on observations obtained from various sensors such as LIDAR, GPS and Cameras. Actually, camera sensors have been receiving large attention due to they are cheap, easy to employ and provide rich data information. Inner-city environments represent an interesting but also very challenging scenario in this context,where the road layout may be very complex, the presence of objects such as trees, bicycles,cars might generate partial observations and also these observations are often noisy or even missing due to heavy occlusions. Thus, perception process by nature needs to be able to dea lwith uncertainties in the knowledge of the world around the car. While highway navigation and autonomous driving using a prior knowledge of the environment have been demonstrating successfully,understanding and navigating general inner-city scenarios with little prior knowledge remains an unsolved problem. In this thesis, this perception problem is analyzed for driving in the inner-city environments associated with the capacity to perform a safe displacement basedon decision-making process in autonomous navigation. It is designed a perception system that allows robotic-cars to drive autonomously on roads, with out the need to adapt the infrastructure,without requiring previous knowledge of the environment and considering the presenceof dynamic objects such as cars. It is proposed a novel method based on machine learning to extract the semantic context using a pair of stereo images, which is merged in an evidential grid to model the uncertainties of an unknown urban environment, applying the Dempster-Shafer theory. To make decisions in path-planning, it is applied the virtual tentacle approach to generate possible paths starting from ego-referenced car and based on it, two news strategies are proposed. First one, a new strategy to select the correct path to better avoid obstacles and tofollow the local task in the context of hybrid navigation, and second, a new closed loop control based on visual odometry and virtual tentacle is modeled to path-following execution. Finally, a complete automotive system integrating the perception, path-planning and control modules are implemented and experimentally validated in real situations using an experimental autonomous car, where the results show that the developed approach successfully performs a safe local navigation based on camera sensors
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Karim, Jahanvash. "Emotional Intelligence : a Cross-Cultural Psychometric Analysis." Thesis, Aix-Marseille 3, 2011. http://www.theses.fr/2011AIX32028/document.
Анотація:
Malgré la littérature importante dans le champ de l’intelligence émotionnelle, la très grande majorité des études sur le développement et la validation des échelles de mesure de l’intelligence émotionnelle ont été réalisées dans des pays Occidentaux. D’où, une limitation majeure de cette littérature dans son orientation purement occidentale. L’objectif de cette recherche est d’évaluer les propriétés psychométriques du Test d’Intelligence Emotionnelle de Mayer-Salovey-Caruso (MSCEIT), du Questionnaire des Traits d’Intelligence Emotionnelle (TEIQue), et du Test d’auto-évaluation d’Intelligence Emotionnelle (SREIT) dans un contexte comparatif interculturel comprenant des étudiants collectivistes Pakistanais (culture Orientale) et des étudiants individualistes Français (culture Occidentale). Les résultats de cette étude ont démontré que les participants de la culture française ont eu une meilleure performance par rapport aux participants pakistanais au MSCEIT mais pas au TEIQue et au SREIT. Les analyses d’échantillons multiples ont révélé des structures factorielles invariantes du MSCEIT, du TEIQue, et du SREIT à travers les deux cultures. Concernant la validité discriminante, l’auto-évaluation de l’IE, mesurée par le SREIT et le TEIQue, et les mesures de performance de l’IE, évaluées par le MSCEIT, n’ont pas démontré une forte corrélation dans les deux cultures. En autre, les résultats au MSCEIT, au TEIQue, et au SREIT n’ont pas démontré le lien avec l’intelligence cognitive dans les deux cultures. Des corrélations faibles à modérées ont été observées entre les mesures de l’IE et les dimensions de personnalité Big Five. Enfin, les mesures de l’IE se sont révélées indépendantes de styles de communication. Concernant la validité convergente des mesures d’auto-évaluation de l’IE, les résultats au TEIQue ont montré une forte corrélation avec le SREIT dans les deux cultures. En ce qui concerne la validité incrémentale, après un contrôle statistique des dimensions de personnalité Big Five et la capacité cognitive, le MSCEIT et le SREIT n’ont pas démontré le lien avec la satisfaction de vie, l’affect positif, l’affect négatif, et la détresse psychologique dans les deux cultures. En revanche, les facteurs du TEIQue ont expliqué une part significative de la variance dans les variables dépendantes après avoir contrôlé pour les dimensions de personnalité Big Five et l’intelligence cognitive. Cependant, des analyses plus approfondies ont révélé que ces associations ont été en grande partie attribuées au facteur du bien-être du TEIQue. Enfin, les femmes ont montré de meilleurs résultats que les hommes au MSCEIT mais pas au TEIQue et au SREIT dans les deux cultures. En résumé, les résultats de cette étude fournissent les preuves pour validité factorielle, discriminante, et convergente de ces mesures de l’intelligence émotionnelles dans les deux cultures. Toutefois, les résultats concernant la validité incrémentale de ces mesures se sont avérés moins prometteurs que prévuDespite the rather large literature concerning emotional intelligence, the vast majority of studies concerning development and validation of emotional intelligence scales have been done in the Western countries. Hence, a major limitation in this literature is its decidedly Western focus. The aim of this research was to assess the psychometric properties of the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), the Trait Emotional Intelligence Questionnaire (TEIQue), and the Self-Report Emotional Intelligence Test (SREIT) in a cross-cultural comparative context involving the collectivist Pakistani (Eastern culture) and the individualist French (Western culture) students. Results of this study showed that participants from the French culture scored higher than participants from the Pakistani sample on the MSCEIT but not on the TEIQue and the SREIT. Multi-sample analyses revealed that the MSCEIT, the TEIQue, and the SREIT factor structures remained invariant across both cultures. Regarding discriminant validity, in both cultures, self-ratings of emotional intelligence, as assessed by the SREIT and the TEIQue, and performance measure of emotional intelligence, as assessed by the MSCEIT, were not strongly correlated. Furthermore, in both cultures, scores on the MSCEIT, the TEIQue, and the SREIT revealed to be unrelated to cognitive intelligence and communication styles. Finally, low to moderate correlations were observed between the EI measures and the Big Five personality dimensions. Regarding convergent validity of the self-report EI measures, in both cultures the scores on the TEIQue strongly correlated with the scores on the SREIT. With regard to incremental validity, in both cultures, after statistically controlling for the Big Five personality dimensions and cognitive ability, the MSCEIT and the SREIT revealed to be unrelated to satisfaction with life, positive affect, negative affect, and psychological distress. In contrast, the TEIQue factors accounted for a significant amount of variance in outcome variables after controlling for the Big Five personality dimensions and the cognitive intelligence. However, further analyses revealed that the associations were mainly because of the TEIQue’s well-being factor. Finally, in both cultures, females scored higher than males on the MSCEIT but not on the TEIQue and the SREIT. In sum, the results of this study provide evidence for the factorial, discriminant, and convergent validity of these emotional intelligence measures in both cultures. However, results regarding incremental validity of these measures are less promising than anticipated
9
Cripwell, Liam. "Controllable and Document-Level Text Simplification." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0186.
Анотація:
La simplification de texte est une tâche qui consiste à réécrire un texte pour le rendre plus facile à lire et à comprendre pour un public plus large, tout en exprimant toujours le même sens fondamental. Cela présente des avantages potentiels pour certains utilisateurs (par exemple, les locuteurs non natifs, les enfants, les personnes ayant des difficultés de lecture), tout en étant prometteur en tant qu'étape de prétraitement pour les tâches de Traitement Automatique des Langues (TAL) en aval. Les progrès récents dans les modèles génératifs neuronaux ont conduit au développement de systèmes capables de produire des sorties très fluides. Cependant, étant donné la nature de "boîte noire" (black box) de ces systèmes de bout en bout, l'utilisation de corpus d'entraînement pour apprendre implicitement comment effectuer les opérations de réécriture nécessaires. Dans le cas de la simplification, ces ensembles de données comportent des limitation en termes à la fois de quantité et de qualité, la plupart des corpus étant soit très petits, soit construits automatiquement, soit soumis à des licences d'utilisation strictes. En conséquence, de nombreux systèmes ont tendance à être trop conservateurs, n'apportant souvent aucune modification au texte original ou se limitant à la paraphrase de courtes séquences de mots sans modifications structurelles substantielles. En outre, la plupart des travaux existants sur la simplification du texte se limitent aux entrées au niveau de la phrase, les tentatives d'application itérative de ces approches à la simplification au niveau du document ne parviennent en effet souvent pas à préserver de manière cohérente la structure du discours du document. Ceci est problématique, car la plupart des applications réelles de simplification de texte concernent des documents entiers. Dans cette thèse, nous étudions des stratégies pour atténuer la conservativité des systèmes de simplification tout en favorisant une gamme plus diversifiée de types de transformation. Cela implique la création de nouveaux ensembles de données contenant des instances d'opérations sous-représentées et la mise en œuvre de systèmes contrôlables capables d'être adaptés à des transformations spécifiques et à différents niveaux de simplicité. Nous étendons ensuite ces stratégies à la simplification au niveau du document, en proposant des systèmes capables de prendre en compte le contexte du document environnant. Nous développons également des techniques de contrôlabilité permettant de planifier les opérations à effectuer, à l'avance et au niveau de la phrase. Nous montrons que ces techniques permettent à la fois des performances élevées et une évolutivité des modèles de simplificationText simplification is a task that involves rewriting a text to make it easier to read and understand for a wider audience, while still expressing the same core meaning. This has potential benefits for disadvantaged end-users (e.g. non-native speakers, children, the reading impaired), while also showing promise as a preprocessing step for downstream NLP tasks. Recent advancement in neural generative models have led to the development of systems that are capable of producing highly fluent outputs. However, these end-to-end systems often rely on training corpora to implicitly learn how to perform the necessary rewrite operations. In the case of simplification, these datasets are lacking in both quantity and quality, with most corpora either being very small, automatically constructed, or subject to strict licensing agreements. As a result, many systems tend to be overly conservative, often making no changes to the original text or being limited to the paraphrasing of short word sequences without substantial structural modifications. Furthermore, most existing work on text simplification is limited to sentence-level inputs, with attempts to iteratively apply these approaches to document-level simplification failing to coherently preserve the discourse structure of the document. This is problematic, as most real-world applications of text simplification concern document-level texts. In this thesis, we investigate strategies for mitigating the conservativity of simplification systems while promoting a more diverse range of transformation types. This involves the creation of new datasets containing instances of under-represented operations and the implementation of controllable systems capable of being tailored towards specific transformations and simplicity levels. We later extend these strategies to document-level simplification, proposing systems that are able to consider surrounding document context and use similar controllability techniques to plan which sentence-level operations to perform ahead of time, allowing for both high performance and scalability. Finally, we analyze current evaluation processes and propose new strategies that can be used to better evaluate both controllable and document-level simplification systems
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El, Mernissi Karim. "Une étude de la génération d'explication dans un système à base de règles." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066332/document.
Анотація:
Le concept de “Business Rule Management System” (BRMS) a été introduit pour faciliter la création, la vérification, le déploiement et l'exécution des politiques commerciales propres à chaque compagnie. Basée sur une approche symbolique, l'idée générale est de permettre aux utilisateurs métier de gérer les changements des règles métier dans le système sans avoir besoin de recourir à des compétences techniques. Il s'agit donc de fournir à ces derniers la possibilité de formuler des politiques commerciales et d'automatiser leur traitement tout en restant proche du langage naturel. De nos jours, avec l'expansion de ce type de systèmes, il faut faire face à des logiques de décision de plus en plus complexes et à de larges volumes de données. Il n'est pas toujours facile d'identifier les causes conduisant à une décision. On constate ainsi un besoin grandissant de justifier et d'optimiser les décisions dans de courts délais qui induit l'intégration à ses systèmes d'une composante d'explication évoluée. Le principal enjeu de ces recherches est de fournir une approche industrialisable de l'explication des processus de décision d'un BRMS et plus largement d'un système à base de règles. Cette approche devra être en mesure d'apporter les informations nécessaires à la compréhension générale de la décision, de faire office de justification auprès d'entités internes et externes ainsi que de permettre l'amélioration des moteurs de règles existants. La réflexion se portera tant sur la génération des explications en elles-mêmes que sur la manière et la forme sous lesquelles elles seront délivréesThe concept of “Business Rule Management System” (BRMS) has been introduced in order to facilitate the design, the management and the execution of company-specific business policies. Based on a symbolic approach, the main idea behind these tools is to enable the business users to manage the business rule changes in the system without requiring programming skills. It is therefore a question of providing them with tools that enable to formulate their business policies in a near natural language form and automate their processing. Nowadays, with the expansion of intelligent systems, we have to cope with more and more complex decision logic and large volumes of data. It is not straightforward to identify the causes leading to a decision. There is a growing need to justify and optimize automated decisions in a short time frame, which motivates the integration of advanced explanatory component into its systems. Thus, the main challenge of this research is to provide an industrializable approach for explaining the decision-making processes of business rules applications and more broadly rule-based systems. This approach should be able to provide the necessary information for enabling a general understanding of the decision, to serve as a justification for internal and external entities as well as to enable the improvement of existing rule engines. To this end, the focus will be on the generation of the explanations in themselves as well as on the manner and the form in which they will be delivered
Книги з теми "Document Intelligence":
1
Ma, Zongmin, and Yan Li. Soft computing in XML data management: Intelligent systems from decision making to data mining, Web intelligence and computer vision. Berlin: Springer, 2010.
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Wilkinson, Ross. Document Computing: Technologies for Managing Electronic Document Collections. Boston, MA: Springer US, 1998.
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Marinai, Simone. Machine Learning in Document Analysis and Recognition. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.
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1928-, Westerfield H. Bradford, ed. Inside CIA's private world: Declassified articles from the agency's internal journal, 1955-1992. New Haven: Yale University Press, 1995.
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Olken, Frank. Rule - Based Modeling and Computing on the Semantic Web: 5th International Symposium, RuleML 2011– America, Ft. Lauderdale, FL, Florida, USA, November 3-5, 2011. Proceedings. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.
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Paulen, Brian. Pro SQL Server 2008 Analytics: Delivering Sales and Marketing Dashboards. Berkeley, CA: Apress, 2009.
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Ma, Zongmin. Advances in Probabilistic Databases for Uncertain Information Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
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Perales, Francisco José. Pattern recognition and image analysis: First Iberian conference ; proceedings. Berlin: Springer, 2003.
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Glauberman, Naomi, and Russell Jacoby. The bell curve debate: History, documents, opinions. New York: Times Books, 1995.
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Biba, Marenglen. Learning Structure and Schemas from Documents. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.
Частини книг з теми "Document Intelligence":
1
Carrillo-Mendoza, Pabel, Hiram Calvo, and Alexander Gelbukh. "Intra-document and Inter-document Redundancy in Multi-document Summarization." In Advances in Computational Intelligence, 105–15. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62434-1_9.
2
Behera, Ranjit Kumar, and Biswajeet Padhi. "A Smart Document Converter: Conversion of Handwritten Text Document to Computerized Text Document." In Studies in Computational Intelligence, 153–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50641-4_9.
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Kumar, Anuj, Satya Prakash Yadav, and Sugandha Mittal. "DAI for Document Retrieval." In Distributed Artificial Intelligence, 251–62. First edition. | Boca Raton : CRC Press, 2020. | Series: Internet of everything (ioe): security and privacy paradigm: CRC Press, 2020. http://dx.doi.org/10.1201/9781003038467-15.
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Patra, Rakhi. "Automated Document Categorization Model." In Studies in Computational Intelligence, 19–36. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50641-4_2.
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Chen, Xin, and Xiaodong Zhang. "Web Document Prefetching on the Internet." In Web Intelligence, 345–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05320-1_16.
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Ibrahim, Samiah. "Forensic Intelligence." In Forensic Document Examination in the 21st Century, 55–61. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2020. http://dx.doi.org/10.4324/9780367853587-6.
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Wan, Xiaojun. "Document-Based HITS Model for Multi-document Summarization." In PRICAI 2008: Trends in Artificial Intelligence, 454–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89197-0_42.
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Stein, Benno, and Sven Meyer zu Eissen. "Automatic Document Categorization." In KI 2003: Advances in Artificial Intelligence, 254–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39451-8_19.
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Seem, Ankur, Arpit Kumar Chauhan, Rijwan Khan, and Satya Prakash Yadav. "Distributed Artificial Intelligence for Document Retrieval." In Distributed Artificial Intelligence, 59–68. First edition. | Boca Raton : CRC Press, 2020. | Series: Internet of everything (ioe): security and privacy paradigm: CRC Press, 2020. http://dx.doi.org/10.1201/9781003038467-4.
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Afantenos, Stergos D., Irene Doura, Eleni Kapellou, and Vangelis Karkaletsis. "Exploiting Cross-Document Relations for Multi-document Evolving Summarization." In Methods and Applications of Artificial Intelligence, 410–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24674-9_43.
Тези доповідей конференцій з теми "Document Intelligence":
1
Dawodu, A. "A Knowledge Based Document Preparation for Supporting Systems Using Artificial Intelligence." In 27th iSTEAMS-ACity-IEEE International Conference. Society for Multidisciplinary and Advanced Research Techniques - Creative Research Publishers, 2021. http://dx.doi.org/10.22624/aims/isteams-2021/v27p16.
Анотація:
A knowledge based way of preparing documents tools in an organization within an activities such as document preparation that are supported by a knowledge based system. Software called REGENT (Report Generation Tool) works in an environment that generates documents from the reusable document pieces during planning, execution and monitoring the document preparation process in a firm or organizational environment. The documents are built from stored document pieces by using artificial intelligence methods. A system architecture was developed to enable the document generation process to take place within a widen office automation standard. The report preparation process knowledge is captured in form of representing a knowledge based scheme. An artificial intelligence problem solving strategy was developed to take care of reasoning steps when document pieces were being configured. The REGENT environment is normally working when preparing a recurrent report types such as annual reports preparation. Keywords: Knowledge based approach, artificial intelligence, document preparation, office automation,document analysis, document standardization.
2
Wu, Hao, and Kristina Lerman. "Deep Context: A Neural Language Model for Large-scale Networked Documents." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/431.
Анотація:
We propose a scalable neural language model that leverages the links between documents to learn the deep context of documents. Our model, Deep Context Vector, takes advantage of distributed representations to exploit the word order in document sentences, as well as the semantic connections among linked documents in a document network. We evaluate our model on large-scale data collections that include Wikipedia pages, and scientific and legal citations networks. We demonstrate its effectiveness and efficiency on document classification and link prediction tasks.
3
James, Geoffrey. "Artifical intelligence and document processing." In the 5th annual international conference. New York, New York, USA: ACM Press, 1986. http://dx.doi.org/10.1145/318723.318725.
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Han, Soyeon Caren, Yihao Ding, Siwen Luo, Josiah Poon, Hee-Guen Yoon, Zhe Huang, Paul Duuring, and Eun-Jung Holden. "Workshop on Document Intelligence Understanding." In CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3583780.3615312.
5
Teng, Chong, Yanxiang He, Donghong Ji, Guimin Lin, and Zhewei Mai. "A Study on Pseudo Labeled Document Constructed for Document Re-ranking." In 2009 International Conference on Artificial Intelligence and Computational Intelligence. IEEE, 2009. http://dx.doi.org/10.1109/aici.2009.311.
6
Zhao, Xueliang, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao, and Rui Yan. "A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/756.
Анотація:
We present a document-grounded matching network (DGMN) for response selection that can power a knowledge-aware retrieval-based chatbot system. The challenges of building such a model lie in how to ground conversation contexts with background documents and how to recognize important information in the documents for matching. To overcome the challenges, DGMN fuses information in a document and a context into representations of each other, and dynamically determines if grounding is necessary and importance of different parts of the document and the context through hierarchical interaction with a response at the matching step. Empirical studies on two public data sets indicate that DGMN can significantly improve upon state-of-the-art methods and at the same time enjoys good interpretability.
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Bhatt, Himanshu Sharad, Sriranjani Ramakrishnan, Sachin Raja, and C. V. Jawahar. "Unlocking the Potential of Unstructured Data in Business Documents Through Document Intelligence." In CODS-COMAD 2024: 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD). New York, NY, USA: ACM, 2024. http://dx.doi.org/10.1145/3632410.3633293.
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Li, Shuangyin, Rong Pan, and Jun Yan. "Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/304.
Анотація:
In the last decade, there has been a huge amount of documents with different types of rich metadata information, which belongs to the Semi-Structured Documents (SSDs), appearing in many real applications. It is an interesting research work to model this type of text data following the way how humans understand text with informative metadata. In the paper, we introduce a Self-paced Compensatory Deep Boltzmann Machine (SCDBM) architecture that learns a deep neural network by using metadata information to learn deep structure layer-wisely for Semi-Structured Documents (SSDs) embedding in a self-paced way. Inspired by the way how humans understand text, the model defines a deep process of document vector extraction beyond the space of words by jointing the metadata where each layer selects different types of metadata. We present efficient learning and inference algorithms for the SCDBM model and empirically demonstrate that using the representation discovered by this model has better performance on semi-structured document classification and retrieval, and tag prediction comparing with state-of-the-art baselines.
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Tian, Bing, Yong Zhang, Jin Wang, and Chunxiao Xing. "Hierarchical Inter-Attention Network for Document Classification with Multi-Task Learning." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/495.
Анотація:
Document classification is an essential task in many real world applications. Existing approaches adopt both text semantics and document structure to obtain the document representation. However, these models usually require a large collection of annotated training instances, which are not always feasible, especially in low-resource settings. In this paper, we propose a multi-task learning framework to jointly train multiple related document classification tasks. We devise a hierarchical architecture to make use of the shared knowledge from all tasks to enhance the document representation of each task. We further propose an inter-attention approach to improve the task-specific modeling of documents with global information. Experimental results on 15 public datasets demonstrate the benefits of our proposed model.
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Metre, Vishakha A., Shraddha K. Popat, and Pramod B. Deshmukh. "Optimization of Document Clustering Using UNL Document Vector Generation and Swarm Intelligence." In 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2017. http://dx.doi.org/10.1109/iccubea.2017.8463860.
Звіти організацій з теми "Document Intelligence":
1
Brunet, Luc. Elements by artificial Intelligence. Rd mediation, September 2022. http://dx.doi.org/10.17601/rdmediation.2022.9.1.
2
Gautrais, Vincent, Anne Tchiniaev, and Émilie Guiraud. Guide des bonnes pratiques en intelligence artificielle : sept principes pour une utilisation responsable des données. Observatoire international sur les impacts sociétaux de l'IA et du numérique, February 2023. http://dx.doi.org/10.61737/tuac9741.
Анотація:
Ce document cherche à traduire juridiquement les centaines de documents à saveur éthique à travers un guide de bonnes pratiques susceptible d’accroitre la diligence des prestataires offrant de tels outils technologiques.
3
Rochelle, Jeremy. Review of Guidance from Seven States on AI in Education. Digital Promise, February 2024. http://dx.doi.org/10.51388/20.500.12265/204.
Анотація:
As Artificial Intelligence within education becomes increasingly important, Digital Promise reviewed the guidance documents released by seven states—California, North Carolina, Ohio, Oregon, Virginia, Washington state, and West Virginia—on how to approach artificial intelligence (AI) in education. Throughout this report we summarize the overall themes and considerations that each guidance document covers.
4
Mörch, Carl-Maria, Pascale Lehoux, Marc-Antoine Dilhac, Catherine Régis, and Xavier Dionne. Recommandations pratiques pour une utilisation responsable de l’intelligence artificielle en santé mentale en contexte de pandémie. Observatoire international sur les impacts sociétaux de l’intelligence artificielle et du numérique, December 2020. http://dx.doi.org/10.61737/mqaf7428.
Анотація:
La pandémie actuelle a provoqué une onde de choc dont les conséquences se font sentir dans tous les aspects de notre vie. Alors que la santé physique a été généralement au cœur de l’attention scientifique et politique, il est devenu clair que la pandémie de COVID-19 a influé significativement sur la santé mentale de nombreux individus. Plus encore, elle aurait accentué les fragilités déjà existantes dans nos systèmes de santé mentale. Souvent moins financé ou soutenu que la santé physique, le domaine de la santé mentale pourrait-il bénéficier d’innovations en intelligence artificielle en période de pandémie ? Et si oui comment ? Que vous soyez développeur.e.s en IA, chercheur.e.s ou entrepreneur.e.s, ce document vise à vous fournir une synthèse des pistes d’actions et des ressources pour prévenir les principaux risques éthiques liés au développement d’applications d’IA dans le champ de la santé mentale. Pour illustrer ces principes, ce document propose de découvrir quatre cas fictif, à visée réaliste, à partir desquels il vous sera proposé de porter attention aux enjeux éthiques potentiels dans cette situation, aux enjeux d’innovation responsable à envisager, aux pistes d’action possibles inspirées de la liste de contrôle (Protocole Canadien conçu pour favoriser une utilisation responsable de l’IA en santé mentale et prévention du suicide, Mörch et al., 2020), aux ressources pratiques et à certains enjeux juridiques pertinents. Ce document a été élaboré par Carl-Maria Mörch, PhD, Algora Lab, Université de Montréal, Observatoire International sur les impacts sociétaux de l’Intelligence Artificielle et du Numérique (OBVIA), Mila – Institut Québécois d’Intelligence Artificielle, avec les contributions de Pascale Lehoux, Marc-Antoine Dilhac, Catherine Régis et Xavier Dionne.
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Lewis, Dustin, ed. A Compilation of Materials Apparently Reflective of States’ Views on International Legal Issues pertaining to the Use of Algorithmic and Data-reliant Socio-technical Systems in Armed Conflict. Harvard Law School Program on International Law and Armed Conflict, December 2020. http://dx.doi.org/10.54813/cawz3627.
Анотація:
This document is a compilation of materials that at least appear to be reflective of one or more states’ views on international legal issues pertaining to the actual or possible use of algorithmic and data-reliant socio-technical systems in armed conflict. In September of 2018, the Harvard Law School Program on International Law and Armed Conflict (HLS PILAC) commenced a project titled “International Legal and Policy Dimensions of War Algorithms: Enduring and Emerging Concerns.”[1] The project builds on the program’s earlier research and policy initiative on war-algorithm accountability. A goal of the current project is to help strengthen international debate and inform policymaking on the ways that artificial intelligence and complex computer algorithms are transforming war, as well as how international legal and policy frameworks already govern, and might further regulate, the design, development, and use of those technologies. The project is financially supported by the Ethics and Governance of Artificial Intelligence Fund. In creating this compilation, HLS PILAC seeks in part to provide a resource through which the positions of states with divergent positions on certain matters potentially of international public concern can be identified. Legal aspects of war technologies are more complex than some governments, scholars, and advocates allow. In the view of HLS PILAC, knowledge of the legal issues requires awareness of the multiple standpoints from which these arguments are fashioned. An assumption underlying how we approach these inquiries is that an assessment concerning international law in this area ought to take into account the perspectives of as many states (in addition to other relevant actors) as possible.
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Willson. L51756 State of the Art Intelligent Control for Large Engines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 1996. http://dx.doi.org/10.55274/r0010423.
Анотація:
Computers have become a vital part of the control of pipeline compressors and compressor stations. For many tasks, computers have helped to improve accuracy, reliability, and safety, and have reduced operating costs. Computers excel at repetitive, precise tasks that humans perform poorly - calculation, measurement, statistical analysis, control, etc. Computers are used to perform these type of precise tasks at compressor stations: engine / turbine speed control, ignition control, horsepower estimation, or control of complicated sequences of events during startup and/or shutdown. For other tasks, however, computers perform very poorly at tasks that humans find to be trivial. A discussion of the differences in the way humans and computer process information is crucial to an understanding of the field of artificial intelligence. In this project, several artificial intelligence/ intelligent control systems were examined: heuristic search techniques, adaptive control, expert systems, fuzzy logic, neural networks, and genetic algorithms. Of these, neural networks showed the most potential for use on large bore engines because of their ability to recognize patterns in incomplete, noisy data. Two sets of experimental tests were conducted to test the predictive capabilities of neural networks. The first involved predicting the ignition timing from combustion pressure histories; the best networks responded within a specified tolerance level 90% to 98.8% of the time. In the second experiment, neural networks were used to predict NOx, A/F ratio, and fuel consumption. NOx prediction accuracy was 91.4%, A/F ratio accuracy was 82.9%, and fuel consumption accuracy was 52.9%. This report documents the assessment of the state of the art of artificial intelligence for application to the monitoring and control of large-bore natural gas engines.
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Clement, Michael, Sage Broderick, and Marty Garton. Toxic Industrial Chemical / Material Intelligence Tool (TICMINT) user guide. Engineer Research and Development Center (U.S.), November 2023. http://dx.doi.org/10.21079/11681/47924.
Анотація:
The Toxic Industrial Chemical / Material Intelligence Tool (TICMINT) is a web application that provides critical chemical and toxicological information to users quickly and efficiently for the purpose of enacting safe maneuvers in areas of operations. It provides an in-depth look at the makeup, properties, and hazardous effects of nearly 400 toxic chemicals of interest. It also provides background on the chemical makeup of a bevy of building materials, enabling soldiers in areas of operation to determine the toxicological risks associated with the combustion of those materials in their environment. This document’s purpose is to demonstrate the functionality of the TICMINT web application and provide instructional material for those managing its content.
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Pieterson, Willem, Dulce Baptista, David Rosas-Shady, and Andrés Franco. The digital transformation of public employment services across Latin America and the Caribbean. Inter-American Development Bank, August 2023. http://dx.doi.org/10.18235/0005084.
Анотація:
Public employment services have a crucial role in the search for quality jobs, worker placement, labor market adaptation, and mitigating impacts during economic transitions. Globally, these services have been leveraging on digital technologies to transform, and those in Latin America and the Caribbean are no exception. These technologies are enabling the creation of new channels to expand outreach and service delivery, centralizing, and sharing data, facilitating collaboration, and improving processes. However, rapid technological advancements also pose risks in terms of access and equity. For instance, improper use of artificial intelligence (AI) may exacerbate existing labor market inequalities. Therefore, it is essential for public employment services to harness the potential of digital technologies while mitigating associated risks. To address these challenges, these institutions must consider five key dimensions. Firstly, they need to be aware of the strategic implications of digital technologies. Secondly, they need to manage the impact of technology on their administrative operations. Thirdly, they must effectively utilize technology in their interactions with the public. Fourthly, they should undergo organizational changes to enhance agility and adopt different structures, skills, and cultures. Lastly, they must grow into their role of data processing organizations to take advantage of new opportunities and tackle new challenges. This document provides relevant information on the opportunities and challenges of digitalization in public employment services in Latin America and the Caribbean across these dimensions, as well as their level of digital maturity. The data and results presented in this study are based on a survey conducted by the IDB's SEALC Network in 2019, which was expanded in 2022 to include fifteen countries in the region. Additionally, the effect of the COVID-19 pandemic on the digitalization efforts of public employment services in the region is evaluated. This information is relevant for public employment services as it enables them to identify strengths and weaknesses in their digital transformation processes.
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Sanchez, Vanesa, and Nick Wolf. Infrascope 2012: Evaluando el entorno para las asociaciones público-privadas en América Latina y el Caribe. Inter-American Development Bank, February 2013. http://dx.doi.org/10.18235/0006494.
Анотація:
Este documento describe la tercera edición de una herramienta interactiva e índice de clasifi cación que evalúa la capacidad de los países de América Latina y el Caribe para llevar a cabo asociaciones publicoprivadas (APP). El estudio está basado en una metodología desarrolladla en el 2009 y revisada en el 2010. El contenido y el análisis en este informe e índice cubren el periodo entre diciembre de 2011 y julio de 2012. El índice fue elaborado por el Economist Intelligence Unit y cuenta con el apoyo fi nanciero del Fondo Multilateral de Inversiones (FOMIN, miembro del Grupo Banco Interamericano de Desarrollo). Las opiniones expresadas en esta publicación pertenecen al Economist Intelligence Unit y no refl ejan la postura ofi cial del FOMIN o del gobierno de España.
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Pedroza, Paola A. Microfinanzas en América Latina y el Caribe: El sector en cifras 2011. Inter-American Development Bank, October 2011. http://dx.doi.org/10.18235/0009865.
Анотація:
El principal objetivo de esta publicación, es brindar en un solo documento, un resumen de las principales cifras del sector de microfinanzas de América Latina y el Caribe. Este documento contiene información primaria recolectada y procesada por el Fondo Multilateral de Inversiones (FOMIN) así como información secundaria provista por el Microfinance Information Exchange, Inc. (MIX), The Economist Intelligence Unit y la Federación Latinoamericana de Bancos (FELABAN). La información se presenta en cuatro categorías: (1) estructura del mercado por país y crecimiento del sector desde el año 2001; (2) penetración del microcrédito y del sector financiero; (3) entorno de negocios para la región según el Microscopio Global sobre el Entorno de Negocios para las Microfinanzas; y (4) desempeño en microfinanzas presentando las tasas de interés cobradas por las instituciones de microfinanzas vis-à-vis las de los bancos, así como indicadores de referencia (benchmarks) de las instituciones de la región.